DP-300 Practice Question: Monitor, configure, and optimize database resources
Which THREE metrics should you monitor to proactively detect potential performance issues in an Azure SQL Database?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Log IO percentage (sys.dm_db_resource_stats)
Options A, D, and E are correct. Log IO percentage (A) from sys.dm_db_resource_stats indicates transaction log throughput bottlenecks. Wait statistics (D) from sys.dm_os_wait_stats show where queries are waiting, revealing contention or resource pressure. Query Store (E) tracks query plan regressions and performance degradation over time. Option B is incorrect because log backup frequency affects recovery point objectives (RPO), not proactive performance monitoring. Option C is incorrect because database size and growth rate relate to storage capacity planning, not real-time performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Log IO percentage (sys.dm_db_resource_stats)
Why this is correct
High log IO can indicate transaction throughput issues.
- ✗
Log backup frequency
Why it's wrong here
Affects RPO, not performance.
- ✗
Database size and growth rate
Why it's wrong here
Indicates storage usage, not performance.
- ✓
Wait statistics (sys.dm_os_wait_stats)
Why this is correct
Shows database waits, key to identifying bottlenecks.
- ✓
Query Store for query performance regressions
Why this is correct
Tracks plan changes and performance degradation.
Go deeper
Related to this question
Learn chapter
Overview of Azure Data Platform Options
Key term
Query Store
Query Store is a built-in SQL Server feature that captures and stores a history of query execution plans and performance data for easy monitoring and troubleshooting.
Key term
Azure SQL Performance Tuning
Azure SQL Performance Tuning is the process of optimizing the speed and efficiency of queries and database operations in Microsoft Azure SQL Database or SQL Managed Instance to reduce latency and improve throughput.
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